Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes
Open accessAbstract
INTRODUCTION: The ε4 allele of the apolipoprotein E ( APOE ) gene is a risk factor for the development of Alzheimer's disease (AD). APOE4 isoform is associated with increased white matter lesions in humans. To identify the underlying mechanisms of white matter impairment associated with APOE4 , we investigated the effects of APOE4 and APOE3 on multiple readouts of the white matter microstructural integrity. METHODS: Using magnetic resonance imaging and immunohistochemistry approaches, we analyzed white matter tracts in 5xFAD mice expressing APOE3 (5xFAD; APOE3 ) or APOE4 (5xFAD; APOE4 ). RESULTS: APOE4 significantly decreased fractional anisotropy, axial diffusivity, and neurite density index, while increasing radial diffusivity and isotropic volume fraction within major white matter tracts. Myelination was reduced in the corpus callosum of 5xFAD; APOE4 mice. Mechanistically, APOE4 reduced populations of mature and actively myelinating oligodendrocytes. DISCUSSION: Our results suggest that a decrease in the number of actively myelinating oligodendrocytes may explain myelin loss, leading to white matter impairments. Highlights: A robust neurite orientation dispersion and density imaging (NODDI) approach to study the effect of apolipoprotein E (APOE) isoforms on the white matter in 5xFAD mice. APOE4 reduces neurite density and increases water accumulation in the white matter. APOE4 disrupts structural connectivity and reduces the betweenness centrality. APOE4 decreases the number of actively myelinating oligodendrocytes. A reduction in myelinating oligodendrocyte populations may lead to myelin loss.
AI snapshot
Written from the paper’s full text.
TL;DR
In 5xFAD mice expressing human APOE3 or APOE4, APOE4 worsened white matter microstructure and structural connectivity, with reduced myelination in the corpus callosum. This was linked to fewer mature and actively myelinating oligodendrocytes, suggesting an oligodendrocyte-dependent mechanism for APOE4-associated white matter impairment.
Key findings
- APOE4 reduced fractional anisotropy in the corpus callosum (t₂₀ = 2.82, p = 0.010) and hippocampal commissure (t₂₀ = 2.17, p = 0.048), but not anterior commissure (t₂₀ = 1.20, p = 0.242).
- APOE4 increased radial diffusivity in corpus callosum (t₂₀ = 2.36, p = 0.028) and hippocampal commissure (t₂₀ = 2.14, p = 0.045), and increased isotropic volume fraction in corpus callosum (t₂₀ = 3.26, p = 0.003), hippocampal commissure (t₂₀ = 2.28, p = 0.034), and anterior commissure (t₂₀ = 2.18, p = 0.040).
- APOE4 reduced neurite density index in corpus callosum (t₂₀ = 2.38, p = 0.028), hippocampal commissure (t₂₀ = 2.31, p = 0.034), and anterior commissure (t₂₀ = 2.44, p = 0.024), while orientation dispersion index was unchanged.
- In corpus callosum, APOE4 reduced LFB intensity (t₉ = 3.85, p = 0.003) and MBP-positive area (t₉ = 2.86, p = 0.018), reduced CC1-positive mature oligodendrocytes (t₉ = 2.50, p = 0.033) and BCAS1-positive actively myelinating oligodendrocytes (t₉ = 12.12, p = 0.0001), without changing OLIG2-positive oligodendrocyte lineage cells (t₉ = 1.01, p = 0.340).
Methods
- Male and female 5xFAD;APOE3 and 5xFAD;APOE4 mice were studied at 12–13 months: 23 mice total (12 APOE3, 11 APOE4); MRI analysis used 11 mice/genotype after excluding one APOE3 female for motion/noise artifacts.
- In vivo structural and diffusion MRI at 9.4T included T2-weighted imaging, diffusion tensor metrics, NODDI metrics, seed-based tractography for corpus callosum, hippocampal commissure, and anterior commissure, and whole-brain structural connectome/network analysis.
- Histology on a second cohort (6 APOE3, 5 APOE4) used Luxol fast blue, MBP, OLIG2, CC1, BCAS1, IBA1, and X-34 staining, with unpaired t-tests and correlation analyses between MRI metrics and histological markers.
Limitations
- Stated: the cross-sectional design could not identify the exact onset of white matter changes; myelin content was not measured biochemically (e.g., western blotting) because of difficulty isolating pure white matter; and independent APOE3/APOE4 effects apart from 5xFAD-driven amyloid pathology were not examined.
- Evident from the text: histological analyses used a smaller subset (n = 6 APOE3, n = 5 APOE4), and the study used mixed-sex groups with uneven sex distribution, without reporting sex-based analyses for most outcomes.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
37 of 49 cited sources checked · 8 supported · 2 flagged · accuracy not yet measured
- Premisecitation
Previous studies have not combined MRI and histological investigation within the same subjects.
“Notably, previous studies have not combined MRI and histological investigation within the same subjects. 12 , 22 , 26 , 27”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [12] Sun J, Zhu Z, Chen K, et al. APOE ε4 allele accelerates age‐related multi‐cognitive decline and white matter damage in non‐demented elderly. Aging (Albany NY). 2020; 12: 12019‐ 12031. 32572010 PMC7343443 source
The Materials and Methods sections on MRI data acquisition and participants describe MRI scans and blood samples for genotyping, but do not discuss histological investigation. Searches for histology combined with MRI in the same subjects found no passage assessing whether previous studies had done so. (LLM, conf=0.74)
Experimental — accuracy not yet measured - cites [22] Mirza SS, Saeed U, Knight J, et al. APOE ε4, white matter hyperintensities, and cognition in Alzheimer and Lewy body dementia. Neurology. 2019; 93: e1807‐ e1819. 31575706 PMC6946485 source
The Methods describe MRI measurements in the Sunnybrook Dementia Study (SDS) sample and postmortem neuropathologic examination of 36 SDS cases. The Discussion also identifies an autopsy-confirmed subset. This cited study therefore combined MRI and histological investigation in some of the same subjects, contrary to the claim that previous studies had not done so. (LLM, conf=0.86)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [26] Mok KK, Yeung SH, Cheng GW, et al. Apolipoprotein E ε4 disrupts oligodendrocyte differentiation by interfering with astrocyte‐derived lipid transport. J Neurochem. 2023; 165: 55‐ 75. 36549843 source
The Brightfield Immunohistochemistry and Immunohistochemistry-Immunofluorescence methods sections describe histological imaging of mouse brain tissue. Searches for MRI combined with histology in the same subjects found no passage discussing whether previous studies had done so; the claim cannot be verified from our copy. (LLM, conf=0.73)
Experimental — accuracy not yet measured
- Premisecitation
Multiple MRI studies have reported that the APOE4 isoform is associated with white matter degeneration in patients with dementia.
“Multiple MRI studies have reported that APOE4 isoform is associated with white matter degeneration in patients with dementia. 10 , 11 , 22 , 23”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [10] Kumar D, Yatawara C, Wang B, et al. APOE4 and confluent white matter hyperintensities have a synergistic effect on episodic memory impairment in prodromal dementia. J Alzheimers Dis. 2022; 87: 1103‐ 1114. 35431245 source
- cites [11] Vipin A, Kumar D, Soo SA, et al. APOE4 carrier status determines association between white matter disease and grey matter atrophy in early‐stage dementia. Alzheimers Res Ther. 2023; 15: 103. 37270543 PMC10239168 source
The Introduction reports prior associations between APOE4 and white matter hyperintensity burden, an MRI marker of white matter disease, but says findings on APOE4’s influence on that burden are mixed. It does not establish that multiple MRI studies found white matter degeneration specifically in patients with dementia; the Discussion also reports no difference in hyperintensity load between carriers and non-carriers in this study. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [22] Mirza SS, Saeed U, Knight J, et al. APOE ε4, white matter hyperintensities, and cognition in Alzheimer and Lewy body dementia. Neurology. 2019; 93: e1807‐ e1819. 31575706 PMC6946485 source
The Discussion reports faster MRI-visible white matter hyperintensity progression in APOE ε4–positive patients with Alzheimer disease, supporting an association in that group. But this paper’s own MRI analyses primarily examine how APOE ε4 modifies the relationship between white matter hyperintensities and cognition in Alzheimer and Lewy body dementia; the Results also report lower hyperintensity volume in homozygous carriers than in other groups. It therefore does not establish the claimed general association between APOE4 and white matter degeneration across patients with dementia. (LLM, conf=0.83)
Experimental — accuracy not yet measured
- Premisecitation
Even cognitively normal elderly APOE4 carriers exhibit an accelerated decline in white matter integrity.
“Even cognitively normal elderly APOE4 carriers also exhibit an accelerated decline in white matter integrity. 12”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [12] Sun J, Zhu Z, Chen K, et al. APOE ε4 allele accelerates age‐related multi‐cognitive decline and white matter damage in non‐demented elderly. Aging (Albany NY). 2020; 12: 12019‐ 12031. 32572010 PMC7343443 source
The Abstract and Discussion report an accelerated age-related reduction in white matter integrity among APOE ε4 carriers compared with noncarriers. However, the Methods define the participants as non-demented, not necessarily cognitively normal, and the Results include participants with mild cognitive impairment. The claim therefore overstates the population studied. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
Myelin maintenance in white matter is actively regulated by the continuous proliferation and maturation of oligodendrocytes derived from progenitor cells throughout adulthood.
“Myelin maintenance in white matter is actively regulated by the continuous proliferation and maturation of oligodendrocytes derived from progenitor cells throughout adulthood. 24 , 25”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [24] Young KM, Psachoulia K, Tripathi RB, et al. Oligodendrocyte dynamics in the healthy adult CNS: evidence for myelin remodeling. Neuron. 2013; 77: 873‐ 885. 23473318 PMC3842597 source
The Introduction (page not provided) reports that oligodendrocyte precursors continue dividing into adulthood and that some newly formed oligodendrocytes form myelin. The Discussion (page not provided) presents maintenance of existing myelin as a possibility, not an established function of this process throughout white matter; it also considers myelination of previously unmyelinated axons. (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [25] Fard MK, van der Meer F, Sánchez P, et al. BCAS1 expression defines a population of early myelinating oligodendrocytes in multiple sclerosis lesions. Sci Transl Med. 2017; 9: eaam7816. 29212715 PMC7116798 source
The Introduction says adult mouse progenitor cells continuously generate oligodendrocytes and that myelination continues into adulthood. But the Results find that early myelinating cells in human white matter become scarce after childhood, while another Results section finds no extensive turnover of myelinating oligodendrocytes in adult mice. The paper therefore does not establish continuous progenitor-derived oligodendrocyte maturation as the mechanism of white-matter myelin maintenance throughout adulthood. (LLM, conf=0.88)
Experimental — accuracy not yet measured
- Premisecitation
NODDI provides enhanced sensitivity and specific metrics for detecting Alzheimer's disease-associated microstructural changes.
“In contrast, NODDI provides enhanced sensitivity and specific metrics for detecting AD‐associated microstructural changes. 31 , 32 , 33”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [31] Raghavan S, Reid RI, Przybelski SA, et al. Diffusion models reveal white matter microstructural changes with ageing, pathology and cognition. Brain Commun. 2021; 3: fcab106. 34136811 PMC8202149 source
The Discussion (page not provided) reports that NODDI metrics detected Alzheimer’s disease–related white-matter changes and offered more detailed information about neurite health. It does not establish enhanced detection sensitivity over DTI: the Introduction frames that as a hypothesis, and the Discussion says both methods detected subtle Alzheimer’s disease–related changes. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [32] Yu X, Przybelski SA, Reid RI, et al. NODDI in gray matter is a sensitive marker of aging and early AD changes. Alzheimers Dement. 2024; 16: e12627. PMC11284641 39077685 source
- cites [33] Colon‐Perez LM, Ibanez KR, Suarez M, et al. Neurite orientation dispersion and density imaging reveals white matter and hippocampal microstructure changes produced by Interleukin‐6 in the TgCRND8 mouse model of amyloidosis. Neuroimage. 2019; 202: 116138. 31472250 PMC6894485 source
The Introduction (page not available in our copy) says NODDI provides metrics of axonal and dendritic dispersion and density and reports changes in young-onset Alzheimer’s disease. The Discussion reports changes in those metrics in an amyloidosis mouse model. These passages support the specific-metrics and detection portions of the claim, but do not establish enhanced sensitivity relative to another method. (LLM, conf=0.84)
Experimental — accuracy not yet measured
- Premisecitation
Previous studies using humanized APOE3 and APOE4 mouse models without amyloid pathology revealed inconsistent findings regarding myelination.
“Previous studies using humanized APOE3 and APOE4 mouse models without amyloid pathology revealed inconsistent findings regarding myelination. One study found no significant difference in myelination, while others observed reduced myelination from electron microscopy images. 27 , 28”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [27] Cheng GW, Mok KK, Yeung SH, Kofler J, Herrup K, Tse KH. Apolipoprotein E ε4 mediates myelin breakdown by targeting oligodendrocytes in sporadic Alzheimer disease. J Neuropathol Exp Neurol. 2022; 81: 717‐ 730. 35779013 PMC9393713 source
In “Human APOE Depletes OLs, but Not Myelin Fibers in the Aging Mouse Brain” (page unavailable), the paper reports no difference in MBP-myelinated area between its humanized APOE3 and APOE4 mice. The Discussion (page unavailable) says these mice produce no amyloid plaques unless crossed with another strain. Our copy does not report the claimed reduced myelination in other mouse studies based on electron microscopy, so it does not establish the claimed inconsistency among previous studies. (LLM, conf=0.85)
Experimental — accuracy not yet measured - cites [28] Blanchard JW, Akay LA, Davila‐Velderrain J, et al. APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes. Nature. 2022; 611: 769‐ 779. 36385529 PMC9870060 source
The Introduction reports that electron microscopy found fewer myelinated axons and thinner myelin sheaths in humanized APOE4/4 mice than in APOE3/3 mice. The Methods identify these as mice with human APOE replacing the mouse gene. Our copy does not report a mouse study finding no significant myelination difference, so it does not establish the claimed inconsistency across studies. (LLM, conf=0.86)
Experimental — accuracy not yet measured
- Premisecitation
A post mortem AD study in humans revealed a decrease in NDI in the white matter of APOE4 carriers, suggesting a loss of axons.
“A post mortem AD study in humans revealed a decrease in NDI in the white matter of APOE4 carriers, suggesting a loss of axons. 56”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [56] Slattery CF, Zhang J, Paterson RW, et al. ApoE influences regional white‐matter axonal density loss in Alzheimer's disease. Neurobiol Aging. 2017; 57: 8‐ 17. 28578156 PMC5538347 source
The Results report reduced white-matter NDI in APOE ε4-positive patients with young-onset Alzheimer’s disease relative to controls, and the Discussion interprets reduced NDI as modeling axonal loss. But this was a clinical MRI study, not a post-mortem study; the Discussion says post-mortem verification is needed. (LLM, conf=0.91)
Experimental — accuracy not yet measured
- Premisecitation
Previous human and animal studies have established the baseline consequences of APOE3 and APOE4 in the absence of amyloid pathology.
“Previous human and animal studies have already established the baseline consequences of APOE3 and APOE4 in the absence of amyloid pathology. 60 , 61 , 62 , 63”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [60] Reiman EM, Arboleda‐Velasquez JF, Quiroz YT, et al. Exceptionally low likelihood of Alzheimer's dementia in APOE2 homozygotes from a 5,000‐person neuropathological study. Nat Commun. 2020; 11: 667. 32015339 PMC6997393 source
The Results (Neuritic plaque and neurofibrillary tangle severity; page unavailable) compare human APOE3 and APOE4 genotypes and report differences in tau-tangle severity after adjusting for amyloid-plaque severity. Adjustment for plaque severity is not the same as studying consequences in the absence of amyloid pathology. This paper does not itself report an animal study establishing that baseline condition. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [61] Serrano‐Pozo A, Das S, Hyman BT. APOE and Alzheimer's disease: advances in genetics, pathophysiology, and therapeutic approaches. Lancet Neurol. 2021; 20: 68‐ 80. 33340485 PMC8096522 source
- cites [62] Liu CC, Liu CC, Kanekiyo T, Xu H, Bu G. Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy. Nat Rev Neurol. 2013; 9: 106‐ 118. 23296339 PMC3726719 source
- Findingown data
Among all regions analyzed, the corpus callosum demonstrated the most pronounced alterations across all MRI metrics.
“Among all regions analyzed, the corpus callosum demonstrated the most pronounced alterations across all MRI metrics (Figure 1, topmost row), highlighting its vulnerability to APOE4 genotype‐associated structural changes.”
Quote in the paperNot a substantial claim - Findingown data
Network-based statistics revealed disrupted structural connectivity in 5xFAD;APOE4 mice at a statistical threshold of t = 3.0 with the contrast 5xFAD;APOE3 > 5xFAD;APOE4.
“The network‐based statistics analysis revealed disrupted structural connectivity in 5xFAD;APOE4 mice at a statistical threshold of t = 3.0, with the contrast 5xFAD;APOE3 > 5xFAD;APOE4 (Figure 4A–C).”
Quote in the paperSubstantial claim - Findingown data
The left entorhinal cortex had the highest number of connectivity disruptions in the disrupted structural network.
“The left entorhinal cortex had the highest number of connectivity disruptions (Figure 4A, B).”
Quote in the paperNot a substantial claim - Findingown data
5xFAD;APOE4 mice had significantly higher isotropic volume fraction in the corpus callosum, hippocampal commissure, and anterior commissure than 5xFAD;APOE3 mice.
“We found a significantly greater ISO value in corpus callosum [t 20 = 3.26, p = 0.003] (Figure 3H), hippocampal commissure [t 20 = 2.28, p = 0.034] (Figure 3I), and anterior commissure [t 20 = 2.18, p = 0.040] (Figure 3J) of 5xFAD;APOE4 mice, reflecting higher free water content in the 5xFAD;APOE4 mice than in the 5xFAD;APOE3 mice.”
Quote in the paperSubstantial claim - Findingown data
Myelination was reduced in the corpus callosum of 5xFAD;APOE4 mice.
“Myelination was reduced in the corpus callosum of 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Findingown data
Voxel-based morphometry revealed volume reduction in the striatum, external capsule, insular cortex, hippocampal commissure, corpus callosum, inferior colliculus, entorhinal cortex, and periaqueductal gray in 5xFAD;APOE4 mice compared to 5xFAD;APOE3 mice.
“Voxel‐based morphometry analysis revealed a volume reduction in the striatum, external capsule, insular cortex, hippocampal commissure, corpus callosum, inferior colliculus, entorhinal cortex, and periaqueductal gray, indicating atrophy of these brain regions in 5xFAD;APOE4 mice compared to 5xFAD;APOE3 mice (Figure S1A, B).”
Quote in the paperSubstantial claim - Findingown data
The disrupted structural network nodes were the left entorhinal cortex, right insular cortex, right and left periaqueductal gray, and right and left cerebellum.
“In the disrupted network, the nodes were the left entorhinal cortex, right insular cortex, right and left periaqueductal gray, and right and left cerebellum.”
Quote in the paperSubstantial claim - Findingown data
5xFAD;APOE4 mice had significantly lower neurite density index in the corpus callosum, hippocampal commissure, and anterior commissure than 5xFAD;APOE3 mice.
“We subsequently extracted tract‐specific NDI values and detected a significant reduction in the NDI in 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice across three major white matter tracts, corpus callosum [t 20 = 2.38, p = 0.028] (Figure 3C), hippocampal commissure [t 20 = 2.31, p = 0.034] (Figure 3D), and anterior commissure [t 20 = 2.44, p = 0.024] (Figure 3E).”
Quote in the paperSubstantial claim - Findingown data
APOE4 reduced populations of mature and actively myelinating oligodendrocytes.
“Mechanistically, APOE4 reduced populations of mature and actively myelinating oligodendrocytes.”
- Also stated in: § Highlights · plain
“APOE4 decreases the number of actively myelinating oligodendrocytes.”
Quote in the paperSubstantial claim - Also stated in: § Highlights · plain
- Findingown data
Graph network metrics (assortativity, degree centrality, global efficiency, local efficiency, clustering coefficient, shortest path length, and small-worldness) did not significantly differ between 5xFAD;APOE4 and 5xFAD;APOE3 mice.
“Graph network metrics, such as assortativity (Figure 4D), degree centrality (Figure 4F), global efficiency (Figure 4G), local efficiency (Figure 4H), the clustering coefficient (Figure 4I), shortest path length (Figure 4J), and small‐worldness (Figure 4K), did not significantly differ between the two groups.”
Quote in the paperNot a substantial claim - Findingown data
APOE4 reduces betweenness centrality in the structural network.
“APOE4 disrupts structural connectivity and reduces the betweenness centrality.”
Quote in the paperSubstantial claim - Findingown data
Orientation dispersion index did not differ between 5xFAD;APOE3 and 5xFAD;APOE4 mice in the corpus callosum, hippocampal commissure, and anterior commissure.
“Our mean ODI maps (Figure S2Ea,b) did not show any noticeable differences in the corpus callosum (Figure S2Ec), hippocampal commissure (Figure S2Ed), and anterior commissure (Figure S2Ee).”
Quote in the paperNot a substantial claim - Findingown data
Network-based statistical analysis revealed connectivity deficits in the entorhinal cortex, periaqueductal gray, and insular cortex of 5xFAD;APOE4 mice.
“Consistent with the findings of the voxel‐based morphometry analysis (Figure S1), the network‐based statistical analysis revealed connectivity deficits in the entorhinal cortex, periaqueductal gray, and insular cortex (Figure 4A, C).”
Quote in the paperSubstantial claim - Findingown data
The number of BCAS1-positive actively myelinating oligodendrocytes was significantly lower in 5xFAD;APOE4 mice than in 5xFAD;APOE3 mice (t9 = 12.12, p = 0.0001).
“The number of anti‐BCAS1 antibody‐positive cells in 5xFAD;APOE4 mice was significantly lower [t 9 = 12.12, p = 0.0001] than that of 5xFAD;APOE3 mice (Figure 6I).”
Quote in the paperSubstantial claim - Findingown data
MBP-positive area was significantly decreased in the corpus callosum of 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice (t9 = 2.86, p = 0.018).
“Consistent with the LFB results, we observed a significant decrease in the MBP‐positive area [t 9 = 2.86, p = 0.018] in the corpus callosum of 5xFAD;APOE4 mice (Figure 5G).”
Quote in the paperSubstantial claim - Findingown data
MBP immunostaining exhibited a significant positive correlation with fractional anisotropy (p = 0.047).
“Notably, MBP immunostaining, a marker of myelination, exhibited a significant positive correlation with fractional anisotropy (p = 0.047) (Figure S4A).”
Quote in the paperNot a substantial claim - Findingown data
MBP immunostaining showed a significant negative correlation with radial diffusivity (p = 0.011).
“Conversely, MBP immunostaining showed a negative correlation with both radial diffusivity (p = 0.011) (Figure S4B) and isotropic volume fraction (p = 0.035) (Figure S4C).”
Quote in the paperNot a substantial claim - Findingown data
LFB intensity was significantly reduced in the corpus callosum of 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice (t9 = 3.85, p = 0.003).
“We detected a significant reduction in LFB intensity [t 9 = 3.85, p = 0.003] in the corpus callosum of 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice (Figure 5D).”
Quote in the paperSubstantial claim - Findingown data
5xFAD;APOE4 mice had a marked disruption of structural connectivity compared with 5xFAD;APOE3 mice.
“Our results demonstrated that, compared with 5xFAD;APOE3, 5xFAD;APOE4 mice had significant reductions in fractional anisotropy (Figure 2H, I) and neurite density indices (Figure 3C, E) within major white matter tracts, along with a marked disruption of structural connectivity (Figure 4A, C).”
Quote in the paperSubstantial claim - Findingown data
X-34-positive fibrillar plaques were markedly increased in the corpus callosum of 5xFAD;APOE4 mice.
“Our analysis revealed a marked increase in X‐34‐positive fibrillar plaques in the corpus callosum in 5xFAD;APOE4 mice (Figure S3C).”
Quote in the paperSubstantial claim - Findingown data
MBP immunostaining showed a significant negative correlation with isotropic volume fraction (p = 0.035).
“Conversely, MBP immunostaining showed a negative correlation with both radial diffusivity (p = 0.011) (Figure S4B) and isotropic volume fraction (p = 0.035) (Figure S4C).”
Quote in the paperNot a substantial claim - Findingown data
There was no sex difference in amyloid levels in the corpus callosum of 5xFAD mice.
“Although sex differences in amyloid plaque deposition have been reported in the hippocampus and cortex of 5xFAD mice, we found no sex difference in amyloid levels in the corpus callosum (Figure S3D).”
Quote in the paperNot a substantial claim - Findingown data
5xFAD;APOE4 mice had higher isotropic volume fraction than 5xFAD;APOE3 mice.
“Notably, 5xFAD;APOE4 mice had higher isotropic volume fraction than 5xFAD; APOE3 mice (Figure 3H, J), suggesting increased accumulation of water in less myelinated white matter.”
Quote in the paperSubstantial claim - Findingown data
5xFAD;APOE4 mice had significant reductions in neurite density indices within major white matter tracts compared with 5xFAD;APOE3 mice.
“Our results demonstrated that, compared with 5xFAD;APOE3, 5xFAD;APOE4 mice had significant reductions in fractional anisotropy (Figure 2H, I) and neurite density indices (Figure 3C, E) within major white matter tracts, along with a marked disruption of structural connectivity (Figure 4A, C).”
Quote in the paperSubstantial claim - Findingown data
CC1-positive mature oligodendrocytes were significantly decreased in 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice (t9 = 2.50, p = 0.033).
“We observed a significant decrease in CC1‐positive mature oligodendrocytes in 5xFAD;APOE4 mice compared with those in 5xFAD;APOE3 mice [t 9 = 2.50, p = 0.033] (Figure 6F).”
- Also stated in: § Cellular mechanism of white matter integrity loss · plain
“5xFAD;APOE4 mice had a reduced number of mature oligodendrocytes in the corpus callosum compared to 5xFAD;APOE3 mice (Figure 6F).”
Quote in the paperSubstantial claim - Also stated in: § Cellular mechanism of white matter integrity loss · plain
- Findingown data
Amyloid plaque deposition exhibited a significant negative correlation with NDI (p = 0.042).
“Amyloid plaque deposition exhibited a significant negative correlation with NDI (p = 0.042) (Figure S4D) and was positively correlated with isotropic volume fraction (p = 0.001) (Figure S4E).”
Quote in the paperNot a substantial claim - Findingown data
Microgliosis was significantly increased in 5xFAD;APOE4 mice.
“Concomitant with the observed increase in plaque deposition, we detected significantly increased microgliosis in 5xFAD;APOE4 mice (Figure S3G).”
Quote in the paperSubstantial claim - Findingown data
There was no significant difference in the number of oligodendrocyte lineage cells between 5xFAD;APOE4 and 5xFAD;APOE3 mice (t9 = 1.01, p = 0.340).
“There was no significant difference in the number of oligodendrocyte lineage cells [t 9 = 1.01, p = 0.340] between the two genotypes (Figure 6C).”
Quote in the paperSubstantial claim - Findingown data
IBA1 immunostaining was positively correlated with radial diffusivity (p = 0.001).
“Finally, We observed that IBA1 immunostaining, a marker of myeloid cell activation and neuroinflammation, was positively correlated with radial diffusivity (p = 0.001) (Figure S4F).”
Quote in the paperNot a substantial claim - Findingown data
Amyloid plaque deposition was positively correlated with isotropic volume fraction (p = 0.001).
“Amyloid plaque deposition exhibited a significant negative correlation with NDI (p = 0.042) (Figure S4D) and was positively correlated with isotropic volume fraction (p = 0.001) (Figure S4E).”
Quote in the paperNot a substantial claim - Findingown data
5xFAD;APOE4 mice had significant reductions in fractional anisotropy within major white matter tracts compared with 5xFAD;APOE3 mice.
“Our results demonstrated that, compared with 5xFAD;APOE3, 5xFAD;APOE4 mice had significant reductions in fractional anisotropy (Figure 2H, I) and neurite density indices (Figure 3C, E) within major white matter tracts, along with a marked disruption of structural connectivity (Figure 4A, C).”
Quote in the paperSubstantial claim - Findingown data
The left entorhinal cortex of 5xFAD;APOE4 mice was at the center of the disrupted network connected with four edges.
“The left entorhinal cortex of 5xFAD;APOE4 mice was at the center of the disrupted network connected with four edges (Figure 4A, B).”
Quote in the paperNot a substantial claim - Premisenone given
Conventional diffusion-weighted imaging cannot accurately quantify microstructural properties of brain tissues with non-Gaussian water diffusion, such as neurite density.
“Conventional diffusion‐weighted imaging (DWI) cannot accurately quantify microstructural properties of brain tissues with non‐Gaussian water diffusion, such as neurite density.”
Quote in the paperNot a substantial claim - Interpretationown data
Higher isotropic volume fraction in 5xFAD;APOE4 mice reflects higher free water content.
“reflecting higher free water content in the 5xFAD;APOE4 mice than in the 5xFAD;APOE3 mice.”
Quote in the paperSubstantial claim - Interpretationcitation
Increased radial diffusivity in 5xFAD;APOE4 mice suggests myelin loss.
“Because radial diffusivity reflects a magnitude of water diffusion perpendicular to axonal fibers, our data suggest that 5xFAD;APOE4 mice had myelin loss. 52”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Song SK, Yoshino J, Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage. 2005; 26: 132‐ 140. 15862213 source
- Interpretationown data§ Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes
APOE4 exacerbates white matter impairment in a mouse model of amyloid-beta amyloidosis by decreasing actively myelinating oligodendrocytes.
“Apolipoprotein ε4 exacerbates white matter impairment in a mouse model of Aβ amyloidosis by decreasing actively myelinating oligodendrocytes”
Quote in the paperSubstantial claim - Interpretationown data
A decrease in the number of actively myelinating oligodendrocytes may explain myelin loss, leading to white matter impairments.
“Our results suggest that a decrease in the number of actively myelinating oligodendrocytes may explain myelin loss, leading to white matter impairments.”
Quote in the paperSubstantial claim - Interpretationown data
The unchanged orientation dispersion index indicates that the remaining neurites retain their coherent alignment and directional organization typical of healthy white matter.
“Despite this reduction in neurite density, the ODI remained unchanged across these tracts, indicating that the remaining neurites retain their coherent alignment and directional organization typical of healthy white matter.”
Quote in the paperSubstantial claim - Interpretationown data
APOE4 exacerbates white matter vulnerabilities in Alzheimer's disease.
“our data suggest that APOE4 exacerbates white matter vulnerabilities in AD.”
Quote in the paperSubstantial claim - Interpretationown data
APOE4 impairs various parameters associated with white matter integrity in 5xFAD mice.
“Collectively, these findings demonstrate that APOE4 impairs various parameters associated with white matter integrity in 5XFAD mice.”
Quote in the paperSubstantial claim - Interpretationcitation
Decreased axial diffusivity in 5xFAD;APOE4 mice suggests axonal injury or degeneration.
“Because axial diffusivity reflects axonal integrity, the decreased values in 5xFAD;APOE4 mice suggest axonal injury or degeneration. 52”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Song SK, Yoshino J, Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage. 2005; 26: 132‐ 140. 15862213 source
- Premisereasoning
No previous studies have validated in vivo white matter abnormalities detected by MRI with corresponding cellular changes in tissues.
“As a result, none have validated in vivo white matter abnormalities detected by MRI with corresponding cellular changes in tissues.”
Quote in the paperSubstantial claim - Interpretationown data
Demyelination and neuroinflammation together may drive microstructural disorganization.
“Conversely, negative correlations of MBP with radial diffusivity (Figure S4B) and isotropic volume fraction (Figure S4C), as well as the positive correlation between IBA1 and radial diffusivity (Figure S4F), highlight that demyelination and neuroinflammation together may drive microstructural disorganization. 52”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Song SK, Yoshino J, Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage. 2005; 26: 132‐ 140. 15862213 source
- Rests on an assumption: Higher radial diffusivity and isotropic volume fraction are associated with increased water content and reduced myelin integrity.
- Interpretationown data
The neuroinflammatory process contributes to increased water diffusion perpendicular to axonal fibers.
“This relationship implies that the neuroinflammatory process contributes to increased water diffusion perpendicular to axonal fibers.”
Quote in the paperSubstantial claim- Rests on an assumption: Higher radial diffusivity and isotropic volume fraction are associated with increased water content and reduced myelin integrity.
- Interpretationown data
These reductions in mature and actively myelinating oligodendrocytes are likely underlying mechanisms for the observed impairment in white matter integrity and structural connectivity in 5xFAD;APOE4 mice.
“These reductions are likely to be underlying mechanisms for the observed impairment in white matter integrity (Figure 2) and structural connectivity (Figure 4A, C).”
Quote in the paperSubstantial claim - Interpretationreasoning
Amyloid-driven neuroinflammation may disrupt myelin integrity, accelerating white matter impairment in 5xFAD mice.
“This amyloid‐driven neuroinflammation may disrupt myelin integrity, accelerating white matter impairment in 5xFAD mice.”
Quote in the paperSubstantial claim - Interpretationown data
Myelination is decreased, particularly in the corpus callosum, in 5xFAD;APOE4 mice.
“These results collectively indicate decreased levels of myelination, particularly in the corpus callosum in 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Interpretationown data
The reduction in BCAS1-positive cells indicates a marked decrease in active myelination in 5xFAD;APOE4 mice.
“This substantial reduction in the number of BCAS1‐positive cells suggests a marked decrease in active myelination in the 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Interpretationown data
The disruption in connectivity in 5xFAD;APOE4 mice may be attributed to reduced fractional anisotropy and neurite density in the corpus callosum.
“This disruption in connectivity may be attributed to the reduced fractional anisotropy (Figure 2E) and neurite density (Figure 3C) in the corpus callosum of 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Interpretationreasoning
Reduction in NDI in the APOE4 mouse model of Aβ amyloidosis indicates axonal loss.
“Consistent with these findings in humans, we also observed a reduction in NDI in the APOE4 mouse model of Aβ amyloidosis (Figure 3C, E), indicating axonal loss.”
Quote in the paperSubstantial claim- Rests on an assumption: Loss of axons and dendrites decreases the intraneurite space, reflected by a decrease in NDI.
- Interpretationown data
The positive correlation between MBP and fractional anisotropy demonstrates that myelin integrity is associated with coherent white matter organization.
“The positive correlation between MBP and fractional anisotropy (Figure S4A) demonstrates that myelin integrity is associated with coherent white matter organization.”
Quote in the paperSubstantial claim - Interpretationreasoning
The myelination deficits observed in this study might have emerged only in the presence of amyloid.
“These discrepancies suggest that the myelination deficits we observed might have emerged only in the presence of amyloid.”
Quote in the paperNot a substantial claim - Interpretationown data
Lower fractional anisotropy in 5xFAD;APOE4 mice demonstrates disrupted organization and demyelination in white matter tracts.
“5xFAD;APOE4 mice exhibit lower fractional anisotropy (Figure 2H, I), demonstrating disrupted organization and demyelination in white matter tracts. 51”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Beaulieu C. The basis of anisotropic water diffusion in the nervous system—a technical review. NMR Biomed. 2002; 15: 435‐ 455. 12489094 source
- Interpretationown data
Reduced myelination in 5xFAD;APOE4 mice is likely due to a decreased number of actively myelinating mature oligodendrocytes.
“We observed reduced myelination (Figure 5G) in 5xFAD;APOE4 mice, likely due to a decreased number of actively myelinating mature oligodendrocytes (Figure 6I).”
Quote in the paperSubstantial claim - Interpretationown data
The disrupted structural connectivity suggests that nodes failed to physically connect in 5xFAD;APOE4 mice.
“The disrupted structural connectivity suggested that nodes failed to physically connect in 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Interpretationown data
APOE4 compromises the integrity of white matter by reducing the population of actively myelinating oligodendrocytes.
“Therefore, our data suggest that APOE4 compromises the integrity of white matter by reducing the population of actively myelinating oligodendrocytes.”
Quote in the paperSubstantial claim - Interpretationown data
Higher isotropic volume fraction in 5xFAD;APOE4 mice suggests increased accumulation of water in less myelinated white matter.
“Notably, 5xFAD;APOE4 mice had higher isotropic volume fraction than 5xFAD; APOE3 mice (Figure 3H, J), suggesting increased accumulation of water in less myelinated white matter.”
Quote in the paperSubstantial claim- Rests on an assumption: A reduction in NDI is often accompanied by expansion of the extraneurite space (higher ODI) or accumulation of cerebrospinal fluid (higher isotropic volume fraction).
- Interpretationreasoning
The disrupted interhemispheric connections in 5xFAD;APOE4 mice are potentially connected through the corpus callosum.
“These disrupted interhemispheric connections are potentially connected through the corpus callosum.”
Quote in the paperNot a substantial claim - Study design and conductown data
The study did not examine the independent effects of APOE3/4 apart from interactions with 5xFAD-driven amyloid pathology.
“Third, we did not examine the independent effects of APOE3/4 apart from its interactions with 5xFAD‐driven amyloid pathology.”
Quote in the paperSubstantial claim - Interpretationreasoning
These results may help explain the higher prevalence of white matter hyperintensities in APOE4 carriers.
“These results provide new insight into the mechanisms underlying the increased susceptibility to white matter damage in APOE4 carriers and may help explain the higher prevalence of white matter hyperintensities observed in this population.”
Quote in the paperSubstantial claim - Interpretationcitation
Myelin loss may loosen axonal sheaths, enhancing perpendicular diffusion of water, leading to lower fractional anisotropy.
“Mechanistically, myelin loss may loosen axonal sheaths, enhancing perpendicular diffusion of water, leading to 52 lower fractional anisotropy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [52] Song SK, Yoshino J, Le TQ, et al. Demyelination increases radial diffusivity in corpus callosum of mouse brain. Neuroimage. 2005; 26: 132‐ 140. 15862213 source
- Rests on an assumption: In healthy white matter, water diffuses primarily in the direction of myelinated axons.
- Interpretationown data
APOE4 contributes to reduced numbers of mature and actively myelinating oligodendrocytes in the white matter of 5xFAD mice.
“Taken together, our findings demonstrate that APOE4 contributes to reduced numbers of mature (Figure 6F) and actively myelinating (Figure 6I) oligodendrocytes in the white matter of 5xFAD mice.”
Quote in the paperSubstantial claim - Interpretationown data
The APOE4 isoform significantly reduces white matter integrity by decreasing the number of actively myelinating oligodendrocytes.
“Importantly, we demonstrated that the APOE4 isoform significantly reduces white matter integrity by decreasing the number of actively myelinating oligodendrocytes.”
Quote in the paperSubstantial claim - Interpretationnone given
This study is the first to apply NODDI-MRI to examine microstructural tissue integrity in an amyloid mouse model with human APOE isoforms.
“Despite these limitations, this study is the first to apply the advanced NODDI‐MRI approach to examine microstructural tissue integrity in an amyloid mouse model with human APOE isoforms.”
Quote in the paperSubstantial claim - Interpretationown data
A reduction in mature oligodendrocytes may contribute to myelin deficits and white matter abnormalities in the presence of APOE4 allele.
“Taken together, this result suggests that a reduction in mature oligodendrocytes may contribute to myelin deficits and white matter abnormalities in the presence of APOE4 allele.”
Quote in the paperSubstantial claim - Interpretationown data
The reduction in the number of both mature and actively myelinating oligodendrocytes contributes to impaired myelination and loss of white matter integrity in 5xFAD;APOE4 mice.
“Overall, our findings suggest that the reduction in the number of both mature and actively myelinating oligodendrocytes contributes to impaired myelination and the loss of white matter integrity in 5xFAD;APOE4 mice.”
Quote in the paperSubstantial claim - Interpretationown data
Actively myelinating oligodendrocytes are key contributors to white matter impairment in AD.
“Our findings provide new evidence that these actively myelinating oligodendrocytes are key contributors to white matter impairment in AD.”
Quote in the paperSubstantial claim
- Classified as probably not a substantial claim. 19
- May combine two claims. 21
- The quote only partly states this claim. 1
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationTau and amyloid-beta deposition contribute to the loss of white matter integrity.
“it is thought that tau and Aβ deposition contribute to the loss of white matter integrity. 16 , 17 , 18”
Quote in the paperNot a substantial claim3 of 3 sources checked- cites [16] Magalhães TNC, Casseb RF, Gerbelli CLB, et al. Whole‐brain DTI parameters associated with tau protein and hippocampal volume in Alzheimer's disease. Brain Behav. 2023; 13: e2863. 36601694 PMC9927845 source
- cites [17] Strain JF, Smith RX, Beaumont H, et al. Loss of white matter integrity reflects tau accumulation in Alzheimer disease defined regions. Neurology. 2018; 91: e313‐ e318. 29959265 PMC6070383 source
The Conclusion states that tau, not Aβ, was associated with changes in anterior temporal white-matter integrity. The Results likewise report that tau predicted an integrity measure in certain tracts, while amyloid failed to predict either measure in any summary tract. Thus, the paper supports the tau portion but makes a contrary finding for Aβ. (LLM, conf=0.89)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measured - cites [18] Tian J, Raghavan S, Reid RI, et al. White matter degeneration pathways associated with tau deposition in Alzheimer disease. Neurology. 2023; 100: e2269‐ e2278. 37068958 PMC10259272 source
The Discussion (page not provided) reports that declining white matter integrity was associated with increased tau deposition in Alzheimer disease. It does not establish that amyloid-beta deposition also contributes to that decline; it says white matter integrity may be more correlated with tau than with Aβ. The reported tau finding is an association, not proof of causation. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAPOE4 is a well-established risk factor for Alzheimer's disease, increasing disease susceptibility compared with APOE3.
“Conversely, APOE4 is a well‐established risk factor for AD, increasing disease susceptibility compared with APOE3. 5”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [5] Kim J, Basak JM, Holtzman DM. The role of apolipoprotein E in Alzheimer's disease. Neuron. 2009; 63: 287‐ 303. 19679070 PMC3044446 source
May combine two claims.
PremisecitationAPOE4 compromises the integrity of white matter, further disrupting brain connectivity and function.
“Beyond its effects on gray matter, APOE4 also compromises the integrity of white matter, further disrupting brain connectivity and function. 10 , 11 , 12”
Quote in the paperSubstantial claim2 of 3 sources checked- cites [10] Kumar D, Yatawara C, Wang B, et al. APOE4 and confluent white matter hyperintensities have a synergistic effect on episodic memory impairment in prodromal dementia. J Alzheimers Dis. 2022; 87: 1103‐ 1114. 35431245 source
- cites [11] Vipin A, Kumar D, Soo SA, et al. APOE4 carrier status determines association between white matter disease and grey matter atrophy in early‐stage dementia. Alzheimers Res Ther. 2023; 15: 103. 37270543 PMC10239168 source
The Discussion (page unavailable) suggests that APOE4-related blood–brain barrier disruption may contribute to white matter hyperintensities, but does not establish that APOE4 compromises white matter integrity. The Results (page unavailable) link greater white matter hyperintensity load to poorer cognition primarily in APOE4 non-carriers, and the paper does not show that APOE4 disrupts brain connectivity. (LLM, conf=0.84)
Experimental — accuracy not yet measured - cites [12] Sun J, Zhu Z, Chen K, et al. APOE ε4 allele accelerates age‐related multi‐cognitive decline and white matter damage in non‐demented elderly. Aging (Albany NY). 2020; 12: 12019‐ 12031. 32572010 PMC7343443 source
The Abstract reports faster age-related loss of white-matter integrity in APOE ε4 carriers, and the Results report associations between white-matter integrity and cognitive performance in older carriers. The paper does not establish that this damage disrupts brain connectivity or causes impaired function; the Discussion presents a link to cognitive deficits as a possibility. (LLM, conf=0.84)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataVoxel-based morphometry analysis used 5000 permutations and family-wise error correction.
“We performed 5000 permutations and applied family‐wise error correction. 39”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [39] Bennett CM, Wolford GL, Miller MB. The principled control of false positives in neuroimaging. Soc Cogn Affect Neurosci. 2009; 4: 417‐ 422. 20042432 PMC2799957 source
The ‘Techniques for principled correction’ section identifies permutation-based correction as a way to control family-wise error in neuroimaging. It does not specify 5000 permutations or describe a voxel-based morphometry analysis, so it cannot substantiate those details of the citing authors’ method. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe fixation method was changed to paraformaldehyde combined with lysine and sodium metaperiodate for the second MRI cohort.
“Therefore, we had to change our fixation method to paraformaldehyde combined with lysine and sodium metaperiodate 47 with our second MRI cohort, consisting of six 5xFAD;APOE3 and five 5xFAD;APOE4 mice.”
Quote in the paperNot a substantial claim1 of 1 sources checked- cites [47] Pfeiffer F, Sherafat A, Nishiyama A. The impact of fixation on the detection of oligodendrocyte precursor cell morphology and vascular associations. Cells. 2021; 10: 1302. 34073801 PMC8225113 source
Classified as probably not a substantial claim.
PremisecitationActively myelinating oligodendrocytes are responsible for the ongoing formation and repair of myelin during the demyelinating process observed in multiple sclerosis and multiple system atrophy.
“Actively myelinating oligodendrocytes are responsible for the ongoing formation and repair of myelin during the demyelinating process observed in multiple sclerosis and multiple system atrophy. 29 , 30”
Quote in the paperSubstantial claim2 of 2 sources checked- cites [29] Kaji S, Maki T, Ueda J, et al. BCAS1‐positive immature oligodendrocytes are affected by the α‐synuclein‐induced pathology of multiple system atrophy. Acta Neuropathol Commun. 2020; 8: 120. 32727582 PMC7391509 source
The Introduction identifies BCAS1-positive immature oligodendrocytes as present during active myelination and remyelination and reports their increase in remyelinating areas of multiple sclerosis. For multiple system atrophy, however, the Conclusions report impaired oligodendroglial maturation and regeneration, not successful ongoing myelin repair. Page numbers are not available in the supplied copy. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [30] Bergner CG, van der Meer F, Franz J, et al. BCAS1‐positive oligodendrocytes enable efficient cortical remyelination in multiple sclerosis. Brain. 2025; 148: 908‐ 920. 39319704 PMC11884765 source
The Abstract and Discussion report that actively myelinating BCAS1-positive oligodendrocytes participate in cortical myelin repair in multiple sclerosis. The paper does not establish that they perform this role in multiple system atrophy; that condition appears in the title of a cited work in the References, which does not substantiate the repair claim. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationImpaired white matter integrity is a hallmark of the early stage of Alzheimer's disease.
“Impaired white matter integrity is a hallmark of the early stage of AD, 14 , 15”
Quote in the paperNot a substantial claim2 of 2 sources checked- cites [14] Wen Q, Mustafi SM, Li J, et al. White matter alterations in early‐stage Alzheimer's disease: a tract‐specific study. Alzheimers Dement. 2019; 11: 576‐ 587. PMC6713788 31467968 source
The Introduction (page unavailable) describes white matter degeneration in early AD, and the Discussion reports significant white matter alterations in participants with MCI. But the Discussion also reports no significant differences between the cognitively normal and subjective cognitive decline groups in this study. Calling impaired white matter integrity a hallmark of the early stage overstates the consistency of the paper’s findings. (LLM, conf=0.82)
Experimental — accuracy not yet measured - cites [15] Ahmadi K, Pereira JB, van Westen D, et al. Fixel‐based analysis reveals macrostructural white matter changes associated with tau pathology in early stages of Alzheimer's disease. medRxiv. 2023. 2023.02.17.23286094. source
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationWhite matter microstructural damage in Alzheimer's disease is associated with disrupted structural connectivity and impaired network functions.
“This damage is associated with disrupted structural connectivity and impaired network functions. 19 , 20 , 21”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [19] Chen Y, Wang Y, Song Z, Fan Y, Gao T, Tang X. Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: a systematic review. Ageing Res Rev. 2023; 87: 101911. 36931328 source
- cites [20] Pereira JB, Mijalkov M, Kakaei E, et al. Disrupted network topology in patients with stable and progressive mild cognitive impairment and Alzheimer's disease. Cereb Cortex. 2016; 26: 3476‐ 3493. 27178195 PMC4961019 source
The Discussion reports abnormal network organization in AD patients and interprets increased path length as less efficient communication between brain regions. But the Methods describe networks built from cortical thickness and subcortical volume, not measures of white-matter microstructural damage. The paper therefore supports disrupted network organization, but does not establish the claimed association with that damage or directly measure impaired network function. (LLM, conf=0.86)
Experimental — accuracy not yet measured - cites [21] He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large‐scale cortical networks in Alzheimer's disease. J Neurosci. 2008; 28: 4756‐ 4766. 18448652 PMC6670444 source
The Introduction (page unavailable) describes white-matter damage as a proposed cause of structural disconnection in Alzheimer’s disease. The Discussion reports disrupted cortical structural networks, but these were measured through cortical thickness, not white-matter microstructure; the section on structural and functional brain networks presents a link to functional impairment as speculation rather than a demonstrated association. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMicrostructural damage in the white matter of Alzheimer's disease patients has been reported in the corpus callosum, fornix, and cingulum.
“Microstructural damage in the white matter of AD patients has been reported in the corpus callosum, fornix, and cingulum. 19 , 20 , 21”
Quote in the paperNot a substantial claim2 of 3 sources checked- cites [19] Chen Y, Wang Y, Song Z, Fan Y, Gao T, Tang X. Abnormal white matter changes in Alzheimer's disease based on diffusion tensor imaging: a systematic review. Ageing Res Rev. 2023; 87: 101911. 36931328 source
- cites [20] Pereira JB, Mijalkov M, Kakaei E, et al. Disrupted network topology in patients with stable and progressive mild cognitive impairment and Alzheimer's disease. Cereb Cortex. 2016; 26: 3476‐ 3493. 27178195 PMC4961019 source
The Discussion (page unavailable) says that white-matter integrity loss or disruption of white-matter fibers has previously been observed in MCI and AD patients. It does not locate that damage in the corpus callosum, fornix, and cingulum; the cited paper’s reference-list entry about cingulum imaging does not establish the full three-tract claim. (LLM, conf=0.83)
Experimental — accuracy not yet measured - cites [21] He Y, Chen Z, Evans A. Structural insights into aberrant topological patterns of large‐scale cortical networks in Alzheimer's disease. J Neurosci. 2008; 28: 4756‐ 4766. 18448652 PMC6670444 source
The Introduction reports evidence suggesting AD-related abnormalities in white-matter structural integrity in the corpus callosum and cingulum. It names the superior longitudinal fasciculus, not the fornix, as the third example. The paper does not report microstructural measurements of all three tracts. (LLM, conf=0.88)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationAPOE4 is known to disrupt oligodendrocyte differentiation and contribute to myelin breakdown in mouse models without any Alzheimer's disease pathology.
“APOE4 is known to disrupt oligodendrocyte differentiation and contribute to myelin breakdown in mouse models without any AD pathology. 26 , 27 , 28”
Quote in the paperSubstantial claim3 of 3 sources checked- cites [26] Mok KK, Yeung SH, Cheng GW, et al. Apolipoprotein E ε4 disrupts oligodendrocyte differentiation by interfering with astrocyte‐derived lipid transport. J Neurochem. 2023; 165: 55‐ 75. 36549843 source
The Discussion reports disrupted oligodendrocyte differentiation in a humanized APOE4 mouse model without amyloid-cascade transgenes; it also reports no neurodegeneration at 12 months. But it describes myelin breakdown as one possible explanation for the increased FluoroMyelin signal, not an established finding, and notes that such models can have AD-like phenotypes. Thus “myelin breakdown” and “without any AD pathology” overstate the evidence (Discussion; page unavailable). (LLM, conf=0.87)
Experimental — accuracy not yet measured - cites [27] Cheng GW, Mok KK, Yeung SH, Kofler J, Herrup K, Tse KH. Apolipoprotein E ε4 mediates myelin breakdown by targeting oligodendrocytes in sporadic Alzheimer disease. J Neuropathol Exp Neurol. 2022; 81: 717‐ 730. 35779013 PMC9393713 source
The Discussion reports reduced oligodendrocyte numbers in hAPOE4 mice without amyloid plaques, supporting an effect independent of that AD pathology. But the section “Human APOE Depletes OLs, but Not Myelin Fibers in the Aging Mouse Brain” reports unchanged myelinated area, and the Discussion describes impaired maintenance of oligodendrocytes rather than demonstrated disruption of their differentiation in mice. The claim of myelin breakdown in those mice is not supported. (LLM, conf=0.90)
Experimental — accuracy not yet measured - cites [28] Blanchard JW, Akay LA, Davila‐Velderrain J, et al. APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes. Nature. 2022; 611: 769‐ 779. 36385529 PMC9870060 source
The Introduction reports fewer myelinated axons and thinner myelin sheaths in APOE4 targeted-replacement mice than in APOE3 mice. It does not establish that APOE4 disrupted oligodendrocyte differentiation or caused breakdown of existing myelin in those mice. The finding in individuals without AD pathology concerns human myelin-associated gene expression, not a documented absence of AD pathology in the mice. (LLM, conf=0.86)
Experimental — accuracy not yet measured
May combine two claims.
PremisecitationBCAS1-positive oligodendrocytes serve as a marker for actively myelinating oligodendrocytes and are distinct from oligodendrocyte progenitor cells and mature oligodendrocytes.
“BCAS1‐positive oligodendrocytes serve as a marker for these actively myelinating oligodendrocytes and are distinct from both oligodendrocyte progenitor cells and mature oligodendrocytes. 25”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [25] Fard MK, van der Meer F, Sánchez P, et al. BCAS1 expression defines a population of early myelinating oligodendrocytes in multiple sclerosis lesions. Sci Transl Med. 2017; 9: eaam7816. 29212715 PMC7116798 source
May combine two claims.
Findingown data5xFAD;APOE4 mice had significantly lower fractional anisotropy in the corpus callosum and hippocampal commissure than 5xFAD;APOE3 mice, but not in the anterior commissure.
“Compared with 5xFAD;APOE3 mice, 5xFAD;APOE4 mice had a significant reduction in fractional anisotropy within the corpus callosum [t 20 = 2.82, p = 0.010] (Figure 2H) and hippocampal commissure [t 20 = 2.17, p = 0.048] (Figure 2I) but not in the anterior commissure [t 20 = 1.20, p = 0.242] (Figure 2J).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data5xFAD;APOE4 mice had significantly lower axial diffusivity in the corpus callosum and hippocampal commissure than 5xFAD;APOE3 mice, but not in the anterior commissure.
“Additionally, tract‐based analysis revealed a significant reduction in axial diffusivity within the corpus callosum [t 20 = 2.50, p = 0.020] (Figure 2M) and the hippocampal commissure [t 20 = 2.42, p = 0.024] (Figure 2N) of 5xFAD;APOE4 mice, whereas the anterior commissure remained unaffected [t 20 = 0.01, p = 0.988] (Figure 2O).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data5xFAD;APOE4 mice had significantly higher radial diffusivity in the corpus callosum and hippocampal commissure than 5xFAD;APOE3 mice, but not in the anterior commissure.
“Tract‐based analysis further revealed significantly higher radial diffusivity in the corpus callosum [t 20 = 2.36, p = 0.028] (Figure 2R) and hippocampal commissure [t 20 = 2.14, p = 0.045] (Figure 2S) of 5xFAD;APOE4 mice but not in the anterior commissure [t 20 = 1.61, p = 0.122] (Figure 2T).”
Quote in the paperSubstantial claimThe quote only partly states this claim.
Findingown dataBetweenness centrality was significantly reduced in 5xFAD;APOE4 mice compared with 5xFAD;APOE3 mice (t20 = 2.85, p = 0.009).
“However, we detected a significant reduction in betweenness centrality [t 20 = 2.85, p = 0.009] in 5xFAD;APOE4 mice (Figure 4E).”
- Also stated in: § Biological interpretations of connectivity and network topology changes · plain
“We identified a reduced betweenness centrality in 5xFAD;APOE4 mice (Figure 4E).”
Quote in the paperSubstantial claim- Also stated in: § Biological interpretations of connectivity and network topology changes · plain
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningA reduced sparsity network (30%) was employed for graph theory analysis.
“Given the probability of false connections arising from probabilistic tractography, we employed a reduced sparsity network (30%).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataNetwork-based statistics analysis used 5000 permutations within a threshold range of 2.5-3.5.
“We performed 5000 permutations within a threshold range of 2.5–3.5.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataBCAS1 immunostaining failed in the first MRI cohort because paraformaldehyde fixation alone was insufficient for preserving BCAS1 antigenicity.
“Unfortunately, BCAS1 immunostaining failed in the first MRI cohort. The fixation conditions with paraformaldehyde alone were insufficient for preserving the antigenicity of BCAS1.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataOne female mouse from the 5xFAD;APOE3 group was excluded from MRI analysis due to severe motion and noise artifacts.
“We excluded one female mouse from 5xFAD;APOE3 group due to the severe motion and noise artifacts.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationIn Alzheimer's disease, damage to white matter is associated with impaired executive function and weakened memory performance.
“In AD, damage to white matter has been associated with impaired executive function and weakened memory performance. 13”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [13] Kaskikallio A, Karrasch M, Koikkalainen J, et al. White matter hyperintensities and cognitive impairment in healthy and pathological aging: a quantified brain MRI study. Dement Geriatr Cogn Disord. 2019; 48: 297‐ 307. 32209796 source
May combine two claims.
Interpretationown dataReductions in fractional anisotropy and axial diffusivity, coupled with increased radial diffusivity, indicate that APOE4 disrupted fiber tracts and demyelination selectively in the corpus callosum and hippocampal commissure.
“Taken together, these reductions in fractional anisotropy and axial diffusivity, coupled with increased radial diffusivity, indicate APOE4 disrupted fiber tracts and demyelination selectively in the corpus callosum and hippocampal commissure.”
Quote in the paperSubstantial claimMay combine two claims.
Study design and conductown dataThe diffusion MRI protocol combining 116 directions across shells improved angular resolution for whole-brain structural connectivity mapping and reduced false-positive tracking errors compared to single-shell approaches.
“Our protocol, combining 116 directions across shells, significantly improved angular resolution for whole brain structural connectivity mapping. Our protocol reduced false‐positive tracking errors compared to single shell approaches.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningMRI data were analyzed from 11 mice per genotype.
“Therefore, we analyzed MRI data from 11 mice/genotype.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAPOE4 promotes axonal or dendritic loss but does not disrupt the overall structural orientation of the surviving fibers.
“This result demonstrates that while APOE4 promotes axonal or dendritic loss, it does not disrupt the overall structural orientation of the surviving fibers, potentially preserving some aspects of tract function even as cellular density declines.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA high-sensitivity cryogenically cooled radiofrequency surface receive-only coil was used to increase the signal-to-noise ratio.
“A high‐sensitivity cryogenically cooled radiofrequency surface receive‐only coil (Bruker CryoProbe) was used to increase the signal‐to‐noise ratio.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenA 10% threshold was applied to eliminate spurious signals from probabilistic tractography.
“The resulting tractograms were subsequently transformed into track‐density maps, and a 10% threshold was applied to eliminate spurious signals from the probabilistic tractography.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThe reduced betweenness centrality in 5xFAD;APOE4 mice indicates a diminished role of certain brain regions as critical hubs for information flow, potentially reflecting impaired integration and disrupted communication pathways within the neuronal network.
“The reduced betweenness centrality in 5xFAD;APOE4 mice demonstrates a diminished role of certain brain regions as critical hubs for information flow, potentially reflecting impaired integration and disrupted communication pathways within the neuronal network.”
Quote in the paperSubstantial claimMay combine two claims.
InterpretationreasoningThese microstructural alterations likely contribute to the observed impairment in white matter integrity and may reflect axonal loss, demyelination, and increased tissue water content.
“These alterations likely contribute to the observed impairment in white matter integrity and may reflect underlying processes such as axonal loss, demyelination, and increased tissue water content.”
Quote in the paperSubstantial claim- Rests on an assumption: Loss of axons and dendrites decreases the intraneurite space, reflected by a decrease in NDI.
- Rests on an assumption: A reduction in NDI is often accompanied by expansion of the extraneurite space (higher ODI) or accumulation of cerebrospinal fluid (higher isotropic volume fraction).
May combine two claims.
PremisecitationDemyelination or axonal damage reduces diffusion restriction, decreasing fractional anisotropy.
“Demyelination or axonal damage reduces diffusion restriction, decreasing fractional anisotropy.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [51] Beaulieu C. The basis of anisotropic water diffusion in the nervous system—a technical review. NMR Biomed. 2002; 15: 435‐ 455. 12489094 source
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTwo complementary staining methods were employed to assess myelination in the white matter.
“However, we employed two complementary staining methods to assess myelination in the white matter.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataThese alterations in connectivity and network topology in 5xFAD;APOE4 mice reveal regional network adaptations occurring in the presence of amyloid pathology, potentially driving synaptic dysfunctions in AD.
“These alterations in connectivity and network topology in 5xFAD;APOE4 mice reveal regional network adaptations occurring in the presence of amyloid pathology, potentially driving synaptic dysfunctions in AD.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAPOE4 induces significant microstructural changes in white matter, including reduced neurite density and increased free water.
“These findings collectively indicate that APOE4 induces significant microstructural changes in white matter, including reduced neurite density and increased free water.”
Quote in the paperSubstantial claim- Rests on an assumption: Loss of axons and dendrites decreases the intraneurite space, reflected by a decrease in NDI.
- Rests on an assumption: A reduction in NDI is often accompanied by expansion of the extraneurite space (higher ODI) or accumulation of cerebrospinal fluid (higher isotropic volume fraction).
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationMyelin loss is correlated with reduced fractional anisotropy in AD.
“This finding is consistent with evidence that shows myelin loss is correlated with reduced fractional anisotropy in AD. 51”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [51] Beaulieu C. The basis of anisotropic water diffusion in the nervous system—a technical review. NMR Biomed. 2002; 15: 435‐ 455. 12489094 source
May combine two claims.
Interpretationown dataThere is a selective loss of mature oligodendrocytes in 5xFAD;APOE4 mice, without global dysregulation of the total oligodendrocyte lineage cell population.
“These data suggest that there is a selective loss of mature oligodendrocytes, although there was no global dysregulation of the total oligodendrocyte lineage cell population.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataAPOE4 exacerbates amyloid-β deposition in myelinated regions such as the corpus callosum, which in turn may trigger pronounced microglial activation.
“These findings suggest that APOE4 exacerbates amyloid‐β deposition in myelinated regions, such as the corpus callosum, which in turn may trigger pronounced microglial activation.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductreasoningThe cross-sectional design precluded identification of the exact onset time for white matter integrity changes.
“First, its cross‐sectional design precluded the identification of the exact onset time for white matter integrity changes.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAPOE4 protein may cause demyelination or impaired myelin maintenance.
“Our data demonstrate that APOE4 protein may cause demyelination or impaired myelin maintenance.”
Quote in the paperSubstantial claimMay combine two claims.
Interpretationown dataIn 5xFAD;APOE4 mice, amyloid accumulation presumably exacerbates disruption of the tissue environment, damages neurites, contributing to elevated water content, further pointing to white matter impairment.
“In 5xFAD;APOE4 mice, amyloid accumulation presumably exacerbates disruption of the tissue environment, damages neurites, contributing to elevated water content (Figure S4D), further pointing to white matter impairment through pathological processes.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataAmyloid accumulation is linked to microstructural alterations and changes in tissue microenvironment.
“This result suggests that amyloid accumulation is linked to microstructural alterations and changes in tissue microenvironment.”
Quote in the paperSubstantial claim
The paper relies on this without support.
The 12–13 month time point represents an advanced stage of Alzheimer's-like pathology and functional decline in the 5xFAD model.
“This time point represents advanced stage of Alzheimer's‐like pathology and functional decline in the 5xFAD model.”
The paper relies on this without support.
The 5xFAD;APOE3 genotype is an appropriate control for isolating the effects of APOE4 in the context of amyloid deposition.
“The resulting offspring, 5xFAD+/−;APOE3 +/+ and 5xFAD+/−;APOE4 +/+, served as models to study the effects of APOE isoforms in the context of amyloid deposition.”
The authors state this as an assumption.
The NODDI model assumptions that neurites are impermeable sticks in a homogeneous background are valid for the brain tissues studied.
“where neurites were considered impermeable sticks (cylinders with zero radius) in a homogeneous background.”
The paper relies on this without support.
The mouse model of amyloid-beta amyloidosis is relevant to human Alzheimer's disease white matter impairment.
“To identify the underlying mechanisms of white matter impairment associated with APOE4, we investigated the effects of APOE4 and APOE3 on multiple readouts of the white matter microstructural integrity.”
The paper relies on this without support.
Higher radial diffusivity and isotropic volume fraction are associated with increased water content and reduced myelin integrity.
“Higher radial diffusivity and isotropic volume fraction have been associated with increased water content and reduced myelin integrity.”
The paper relies on this without support.
In healthy white matter, water diffuses primarily in the direction of myelinated axons.
“In healthy white matter, water diffuses primarily in the direction of myelinated axons.”
The paper relies on this without support.
Loss of axons and dendrites decreases the intraneurite space, reflected by a decrease in NDI.
“Loss of axons and dendrites decreases the intraneurite space, as reflected by a decrease in the NDI.”
The paper relies on this without support.
A reduction in NDI is often accompanied by expansion of the extraneurite space (higher ODI) or accumulation of cerebrospinal fluid (higher isotropic volume fraction).
“This reduction is often accompanied by an expansion of the extraneurite space, indicated by a higher ODI, or by an accumulation of cerebrospinal fluid, indicated by a higher isotropic volume fraction.”
The paper relies on this without support.
Mature oligodendrocytes are essential for the formation and maintenance of myelin sheaths around axons in the adult brain.
“Mature oligodendrocytes are essential for the formation and maintenance of myelin sheaths around axons in the adult brain.”
The paper relies on this without support.
The entorhinal cortex is crucial for spatial navigation and memory and is among the earliest regions affected in AD.
“The entorhinal cortex, crucial for spatial navigation and memory, is among the earliest regions affected in AD.”
The paper relies on this without support.
The periaqueductal gray and insular cortex are involved in pain perception and auditory processing, respectively.
“The periaqueductal gray and insular cortex are involved in pain perception and auditory processing, respectively.”
The paper relies on this without support.
Lower betweenness centrality indicates fewer traffic hubs and inefficient information routing with fewer direct pathways.
“Lower betweenness centrality indicates fewer “traffic hubs”, suggesting inefficient information routing with fewer direct pathways.”
The paper relies on this without support.
Previous human studies have shown reduced fractional anisotropy in APOE4 carriers.
“Previous human studies have shown reduced fractional anisotropy in APOE4 carriers.”
The paper relies on this without support.
The underlying cellular basis for the decrease in fractional anisotropy in APOE4 carriers has been unclear.
“However, the underlying cellular basis for this decrease in fractional anisotropy has been unclear.”
The paper relies on this without support.
The APOE4 allele is a well-established risk factor for AD.
“The APOE4 allele is a well‐established risk factor for AD.”
The paper relies on this without support.
The 5xFAD;APOE3/APOE4 mouse model recapitulates the APOE4-associated white matter phenotype observed in clinical studies.
“we established an Aβ‐amyloidosis mouse model expressing either APOE3 or APOE4, recapitulating the APOE4‐associated white matter phenotype observed in clinical studies while enabling mechanistic investigation of APOE4‐related white matter impairment.”
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Diffusion MRI resolution does not match the field of view and matrix
MinorA 20 mm field of view divided by 100 pixels gives 0.2 mm, or 200 μm, per pixel-not the stated 150 μm. The other in-plane dimension likewise gives 17.2 mm / 86 pixels = 200 μm.
Reported 150 · recomputed 0.2
“matrix size 100 × 86, field of view 20 × 17.2 mm, 54 continuous slices, echo time 26.3 ms, repetition time 3500 ms, in‐plane resolution 150 × 150 µm”
Template sample count conflicts with the stated MRI exclusion
MinorThe methods say one of 23 mice was excluded from MRI analysis, leaving 11 per genotype, but the results say the MRI-derived template comprised all 23 samples. The text does not explain why the excluded scan was included in the template.
“We first created a study‐specific template comprising all 23 samples.”
“We excluded one female mouse from 5xFAD;APOE3 group due to the severe motion and noise artifacts. Therefore, we analyzed MRI data from 11 mice/genotype.”
Structural MRI resolution does not match the field of view and matrix
MinorA 20 mm field of view divided by 200 pixels gives 0.1 mm, or 100 μm, per pixel-not the stated 75 μm. The other in-plane dimension gives the same discrepancy (17.2 mm / 172 pixels).
Reported 75 · recomputed 0.1
“in‐plane resolution 75 × 75 µm, matrix size 200 × 172, field of view 20 × 17.2 mm”
Disrupted network node has conflicting anatomical labels
MinorThe results identify a right insular cortex node in the disrupted network, whereas the Figure 4 caption identifies the corresponding listed node as the right inferior colliculus.
“In the disrupted network, the nodes were the left entorhinal cortex, right insular cortex, right and left periaqueductal gray, and right and left cerebellum.”
“Ent. L (left entorhinal cortex), Cb. L (left cerebellum), Cb. R (right cerebellum), Pag. L (left periaqueductal gray), Pag. R (right periaqueductal gray), and Ic. R (right inferior colliculus).”
Cites
Fiji: an open-source platform for biological-image analysis
Schindelin, J., Arganda-Carreras, I., Frise, E., Kaynig, V., Longair, M., Pietzsch, T., Preibisch, S., Rueden, C., Saalfeld, S., Schmid, B., et al. (2012) · Nature Methods · doi:10.1038/nmeth.2019 · Cited by 66,890 · see citing works
Complex brain networks: graph theoretical analysis of structural and functional systems
Bullmore, E., & Sporns, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2575 · Cited by 11,820 · see citing works
Jenkinson, M., Beckmann, C. F., Behrens, T. E. J., Woolrich, M. W., & Smith, S. M. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.09.015 · Cited by 11,314 · see citing works
Yushkevich, P. A., Piven, J., Hazlett, H. C., Smith, R. G., Ho, S., Gee, J. C., & Gerig, G. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.015 · Cited by 8,868 · cited 1× · see citing works
“44 Probabilistic tractography was derived from the regions of interest, employing 50 seeds per voxel.”
A reproducible evaluation of ANTs similarity metric performance in brain image registration
Avants, B. B., Tustison, N. J., Song, G., Cook, P. A., Klein, A., & Gee, J. C. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.09.025 · Cited by 4,796 · see citing works
The basis of anisotropic water diffusion in the nervous system—A technical review.
Beaulieu, C. (2002) · NMR in Biomedicine · doi:10.1002/nbm.782 · Cited by 4,653 · see citing works
Permutation inference for the general linear model
Winkler, A. M., Ridgway, G. R., Webster, M. A., Smith, S. M., & Nichols, T. E. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.01.060 · Cited by 3,563 · see citing works
Oakley, H., Cole, S. L., Logan, S., Maus, E., Shao, P., Craft, J., Guillozet-Bongaarts, A., Ohno, M., Disterhoft, J., Van Eldik, L., et al. (2006) · The Journal of Neuroscience · doi:10.1523/jneurosci.1202-06.2006 · Cited by 3,530 · see citing works
Apolipoprotein E and Alzheimer disease: risk, mechanisms and therapy
Liu, C.-C., Kanekiyo, T., Xu, H., & Bu, G. (2013) · Nature Reviews Neurology · doi:10.1038/nrneurol.2012.263 · Cited by 3,459 · see citing works
NODDI: Practical in vivo neurite orientation dispersion and density imaging of the human brain
Zhang, H., Schneider, T., Wheeler-Kingshott, C. A., & Alexander, D. C. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.03.072 · Cited by 3,288 · see citing works
ilastik: interactive machine learning for (bio)image analysis
Berg, S., Kutra, D., Kroeger, T., Straehle, C., Kausler, B. X., Haubold, C., Schiegg, M., Aleš, J., Beier, T., Rudy, M., et al. (2019) · Nature Methods · doi:10.1038/s41592-019-0582-9 · Cited by 3,277 · see citing works
MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation
Tournier, J.-D., Smith, R., Raffelt, D., Tabbara, R., Dhollander, T., Pietsch, M., Christiaens, D., Jeurissen, B., Yeh, C.-H., & Connelly, A. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116137 · Cited by 2,974 · see citing works
Network-based statistic: identifying differences in brain networks
Zalesky, A., Fornito, A., & Bullmore, E. T. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.041 · Cited by 2,750 · see citing works
CellProfiler 4: improvements in speed, utility and usability
Stirling, D. R., Swain-Bowden, M. J., Lucas, A. M., Carpenter, A. E., Cimini, B. A., & Goodman, A. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04344-9 · Cited by 2,099 · see citing works
The role of apolipoprotein E in Alzheimer's disease
Kim, J., Basak, J. M., & Holtzman, D. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.026 · Cited by 1,661 · see citing works
Self-citationDemyelination increases radial diffusivity in corpus callosum of mouse brain
Song, S.-K., Yoshino, J., Le, T. Q., Lin, S.-J., Sun, S.-W., Cross, A. H., & Armstrong, R. C. (2005) · NeuroImage · doi:10.1016/j.neuroimage.2005.01.028 · Cited by 1,658 · see citing works
GRETNA: a graph theoretical network analysis toolbox for imaging connectomics
Wang, J., Wang, X., Xia, M., Liao, X., Evans, A. C., & Yong He, A. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00386 · Cited by 1,429 · see citing works
An Optimized Blockwise Non Local Means Denoising Filter for 3D Magnetic Resonance Images
Barillot, C., Inserm, H. I., & Barillot, C. (2007) · Cited by 1,168 · see citing works
APOE and Alzheimer’s disease: Advances in genetics, pathophysiology, and therapeutic approaches
Serrano-Pozo, A., Das, S., & Hyman, B. T. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(20)30412-9 · Cited by 1,037 · see citing works
He, Y., Chen, Z., & Evans, A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0141-08.2008 · Cited by 965 · see citing works
Oligodendrocyte Dynamics in the Healthy Adult CNS: Evidence for Myelin Remodeling
Young, K. M., Psachoulia, K., Tripathi, R. B., Dunn, S.-J., Cossell, L., Attwell, D., Tohyama, K., & Richardson, W. D. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.006 · Cited by 872 · cited 1× · see citing works
“24,25 28 However, it remains unknown whether APOE4 allele regulates mature oligodendrocytes in a mouse model of A β amyloidosis.”
APOE4 impairs myelination via cholesterol dysregulation in oligodendrocytes
Blanchard, J. W., Akay, L. A., Davila-Velderrain, J., von Maydell, D., Mathys, H., Davidson, S. M., Effenberger, A., Chen, C.-Y., Maner-Smith, K., Hajjar, I., et al. (2022) · Nature · doi:10.1038/s41586-022-05439-w · Cited by 493 · see citing works
The principled control of false positives in neuroimaging
Bennett, C. M., Wolford, G. L., & Miller, M. B. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp053 · Cited by 486 · see citing works
Reiman, E. M., Arboleda-Velasquez, J. F., Quiroz, Y. T., Huentelman, M. J., Beach, T. G., Caselli, R. J., Chen, Y., Su, Y., Myers, A. J., Hardy, J., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14279-8 · Cited by 473 · see citing works
APOE2: protective mechanism and therapeutic implications for Alzheimer’s disease
Li, Z., Shue, F., Zhao, N., Shinohara, M., & Bu, G. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00413-4 · Cited by 306 · see citing works
Fard, M. K., van der Meer, F., Sánchez, P., Cantuti-Castelvetri, L., Mandad, S., Jäkel, S., Fornasiero, E. F., Schmitt, S., Ehrlich, M., Starost, L., et al. (2017) · Science Translational Medicine · doi:10.1126/scitranslmed.aam7816 · Cited by 247 · see citing works
Apolipoprotein E metabolism and functions in brain and its role in Alzheimer's disease
Liao, F., Yoon, H., & Kim, J. (2017) · Current Opinion in Lipidology · doi:10.1097/mol.0000000000000383 · Cited by 191 · see citing works
Self-citationAlzheimer's Disease Genetic Risk Factor APOE-ε4 Also Affects Normal Brain Function
Battista, A. M. D., Heinsinger, N. M., & Rebeck, G. W. (2016) · Current Alzheimer Research · doi:10.2174/1567205013666160401115127 · Cited by 184 · see citing works
Chen, Y., Wang, Y., Song, Z., Fan, Y., Gao, T., & Tang, X. (2023) · Ageing Research Reviews · doi:10.1016/j.arr.2023.101911 · Cited by 152 · see citing works
Pereira, J. B., Mijalkov, M., Kakaei, E., Mecocci, P., Vellas, B., Tsolaki, M., Kłoszewska, I., Soininen, H., Spenger, C., Lovestone, S., et al. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw128 · Cited by 142 · see citing works
An Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images
Coupé, P., Yger, P., Prima, S., et al. (2008) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2007.906087 · Cited by 129 · see citing works
The oligodendrocyte‐specific antibody ‘ CC 1’ binds Quaking 7
Bin, J. M., Harris, S. N., & Kennedy, T. E. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13745 · Cited by 124 · see citing works
ApoE influences regional white-matter axonal density loss in Alzheimer's disease
Slattery, C. F., Zhang, J., Paterson, R. W., Foulkes, A. J. M., Carton, A., Macpherson, K., Mancini, L., Thomas, D. L., Modat, M., Toussaint, N., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.04.021 · Cited by 102 · see citing works
Loss of white matter integrity reflects tau accumulation in Alzheimer disease defined regions
Strain, J. F., Smith, R. X., Beaumont, H., Roe, C. M., Gordon, B. A., Mishra, S., Adeyemo, B., Christensen, J. J., Su, Y., Morris, J. C., et al. (2018) · Neurology · doi:10.1212/wnl.0000000000005864 · Cited by 97 · see citing works
White matter alterations in early‐stage Alzheimer's disease: A tract‐specific study
Wen, Q., Mustafi, S. M., Li, J., Risacher, S. L., Tallman, E., Brown, S. A., West, J. D., Harezlak, J., Farlow, M. R., Unverzagt, F. W., et al. (2019) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1016/j.dadm.2019.06.003 · Cited by 96 · see citing works
Diffusion models reveal white matter microstructural changes with ageing, pathology and cognition
Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Graff-Radford, J., Schwarz, C. G., Knopman, D. S., Mielke, M. M., Machulda, M. M., Petersen, R. C., et al. (2021) · Brain Communications · doi:10.1093/braincomms/fcab106 · Cited by 79 · see citing works
<i>APOE</i> ε4, white matter hyperintensities, and cognition in Alzheimer and Lewy body dementia
Mirza, S. S., Saeed, U., Knight, J., Ramirez, J., Stuss, D. T., Keith, J., Nestor, S. M., Yu, D., Swardfager, W., Rogaeva, E., et al. (2019) · Neurology · doi:10.1212/wnl.0000000000008377 · Cited by 67 · see citing works
Robust methods to create ex vivo minimum deformation atlases for brain mapping
Janke, A. L., & Ullmann, J. F. P. (2015) · Methods · doi:10.1016/j.ymeth.2015.01.005 · Cited by 65 · see citing works
Chernick, D., Ortiz‐Valle, S., Jeong, A., Qu, W., & Li, L. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.134306 · Cited by 61 · see citing works
Karahan, H., Smith, D. C., Kim, B., Dabin, L. C., Al-Amin, M. M., Wijeratne, H. R. S., Pennington, T., Viana di Prisco, G., McCord, B., Lin, P. B.-C., et al. (2021) · Science Advances · doi:10.1126/sciadv.abe3954 · Cited by 53 · cited 1× · see citing works
“Given the established link between amyloid pathology and neuroinflammatory responses, 54,55 we then quantified changes in microglia in the corpus callosum using an IBA1 antibody (Figure S3E, F).”
Self-citationSaeed, U., Mirza, S. S., MacIntosh, B. J., Herrmann, N., Keith, J. L., Ramirez, J., Nestor, S. M., Yu, Q., Knight, J., Swardfager, W., et al. (2018) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2018.04.005 · Cited by 52 · see citing works
Susanto, T. A. K., Initiative, A. D. N., Pua, E. P. K., & Zhou, J. H. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-142451 · Cited by 50 · see citing works
Tsui, K. C., Roy, J., Chau, S. C., Wong, K.-H., Shi, L., Poon, C. H., Wang, Y., Strekalova, T. V., Aquili, L., Chang, R. C., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.964336 · Cited by 44 · see citing works
Colon-Perez, L. M., Ibanez, K. R., Suarez, M., Torroella, K., Acuna, K., Ofori, E., Levites, Y., Vaillancourt, D. E., Golde, T. E., Chakrabarty, P., et al. (2019) · NeuroImage · doi:10.1016/j.neuroimage.2019.116138 · Cited by 41 · see citing works
Mok, K. K., Yeung, S. H., Cheng, G. W., Ma, I. W., Lee, R. H., Herrup, K., & Tse, K. (2023) · Journal of Neurochemistry · doi:10.1111/jnc.15748 · Cited by 37 · see citing works
Cheng, G. W.-Y., Mok, K. K.-S., Yeung, S. H.-S., Kofler, J., Herrup, K., & Tse, K.-H. (2022) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlac054 · Cited by 36 · see citing works
White Matter Degeneration Pathways Associated With Tau Deposition in Alzheimer Disease
Tian, J., Raghavan, S., Reid, R. I., Przybelski, S. A., Lesnick, T. G., Gebre, R. K., Graff-Radford, J., Schwarz, C. G., Lowe, V. J., Kantarci, K., et al. (2023) · Neurology · doi:10.1212/wnl.0000000000207250 · Cited by 29 · see citing works
Kim, B., Dabin, L. C., Tate, M. D., Karahan, H., Sharify, A. D., Acri, D. J., Al-Amin, M. M., Philtjens, S., Smith, D. C., Wijeratne, H. R. S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-48484-x · Cited by 28 · see citing works
Self-citationKaskikallio, A., Karrasch, M., Koikkalainen, J., Lötjönen, J., Rinne, J. O., Tuokkola, T., Parkkola, R., & Grönholm-Nyman, P. (2019) · Dementia and Geriatric Cognitive Disorders · doi:10.1159/000506124 · Cited by 28 · see citing works
Al-Amin, M. M., Sullivan, R., Kurniawan, N. D., & Burne, T. H. J. (2019) · Brain Structure and Function · doi:10.1007/s00429-019-01840-w · Cited by 27 · see citing works
Self-citationFixel-based analysis reveals tau-related white matter changes in early stages of Alzheimer's disease
Ahmadi, K., Pereira, J. B., Westen, D. V., Pasternak, O., Zhang, F., Nilsson, M., Stomrud, E., Spotorno, N., & Hansson, O. (2024) · The Journal of Neuroscience · doi:10.1523/jneurosci.0538-23.2024 · Cited by 25 · see citing works
APOEε4 and risk of Alzheimer’s disease – time to move forward
Lefterov, I. M., Fitz, N. F., Lü, Y., & Koldamova, R. P. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1195724 · Cited by 23 · see citing works
NODDI in gray matter is a sensitive marker of aging and early AD changes
Yu, X., Przybelski, S. A., Reid, R. I., Lesnick, T. G., Raghavan, S., Graff‐Radford, J., Lowe, V. J., Kantarci, K., Knopman, D. S., Petersen, R. C., et al. (2024) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.12627 · Cited by 23 · see citing works
Kaji, S., Maki, T., Ueda, J., Ishimoto, T., Inoue, Y., Yasuda, K., Sawamura, M., Hikawa, R., Ayaki, T., Yamakado, H., et al. (2020) · Acta Neuropathologica Communications · doi:10.1186/s40478-020-00997-4 · Cited by 22 · see citing works
Konishi, K., Joober, R., Poirier, J., MacDonald, K., Chakravarty, M. M., Patel, R., Breitner, J. C. S., & Bohbot, V. D. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170540 · Cited by 21 · see citing works
Chen, X. R., Initiative, A. D. N., Shao, Y., & Sadowski, M. J. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210434 · Cited by 21 · see citing works
Pfeiffer, F., Sherafat, A., & Nishiyama, A. (2021) · Cells · doi:10.3390/cells10061302 · Cited by 19 · see citing works
Vipin, A., Kumar, D., Soo, S. A., Zailan, F. Z., Leow, Y. J., Koh, C. L., Ng, A. S. L., Ng, K. P., & Kandiah, N. (2023) · Alzheimer's Research & Therapy · doi:10.1186/s13195-023-01251-4 · Cited by 17 · see citing works
Sun, J., Zhu, Z., Chen, K., Wei, D., Li, X., Li, H., Zhang, J., Chen, X., Chen, Y., & Zhang, Z. (2020) · Aging · doi:10.18632/aging.103367 · Cited by 16 · see citing works
Whole‐brain DTI parameters associated with tau protein and hippocampal volume in Alzheimer's disease
Magalhães, T. N. C., Casseb, R. F., Gerbelli, C. L. B., Pimentel‐Siva, L. R., Nogueira, M. H., Teixeira, C. V. L., Carletti, A. F. M. K., de Rezende, T. J. R., Joaquim, H. P. G., Talib, L. L., et al. (2023) · Brain and Behavior · doi:10.1002/brb3.2863 · Cited by 16 · see citing works
BCAS1-positive oligodendrocytes enable efficient cortical remyelination in multiple sclerosis
Bergner, C. G., van der Meer, F., Franz, J., Vakrakou, A., Würfel, T., Nessler, S., Schäfer, L., Nau-Gietz, C., Winkler, A., Lagumersindez-Denis, N., et al. (2025) · Brain · doi:10.1093/brain/awae293 · Cited by 16 · cited 1× · see citing works
“29,30 Given that demyelination is also observed in AD, investigating these actively myelinatingoligodendrocytesinADiscriticaltounderstandwhitemat-ter impairment.”
Yoo, C.-H., Kim, J., Baek, H.-M., Chang, K.-A., & Choe, B.-Y. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24065073 · Cited by 13 · see citing works
Self-citationKumar, D., Yatawara, C., Wang, B., Wong, B., Tan, Y. J., Zailan, F. Z., Ng, K. P., & Kandiah, N. (2022) · Journal of Alzheimer s Disease · doi:10.3233/jad-215556 · Cited by 12 · see citing works
Low, A., Ng, K. P., Chander, R. J., Wong, B. Y. X., & Kandiah, N. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190159 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
ApoE expression across the CNS: Who, What, Where, When, and How (much)?
Nolt, G. L., Lucido, C. C., Smith, L. M., & Johnson, L. A. (2026) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-026-00028-x · Cited by 2 · see citing works
Chen, K., Chen, Y., Ren, Y., Wang, Z., Huang, Y., Pan, M., Li, Z., Casey, M. C., Qiao, W., Shi, J., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-78407-x
- Authors
- Al‐Amin, M. M., Kim, B., Karahan, H., Tate, M. D., Walsh, S. P., Puntambekar, S. S., Bissel, S. J., Lamb, B. T., Wang, N., & Kim, J.
- Affiliations
- Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis Indiana USA
- Indiana University Indianapolis (US)
- Corresponding author
- Kim, Jungsu
- ORCID
- Venue
- Alzheimer's & Dementia
- Publisher
- Wiley
- Published
- 2025-10
- Volume
- 21
- Issue
- 10
- Pages
- e70791-e70791
- ISSN
- 1552-5260 (ISSN-L)
- 1552-5279
- PMC
- PMC12514940
- OpenAlex
- W4415076428
- Semantic Scholar
- 36bea0200c6612127311934a5d028e88ae84c0b9
- Cited by
- 6
- References
- 64
- Citations by year
- 2026: 5 · 2025: 1
- FWCI
- 3.28
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Alzheimer s & Dementia (publishedVersion, cc-by)
- PubMed (publishedVersion)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- Europe PMC (PubMed Central) (submittedVersion, cc-by)
- Funders
- Indiana University
- National Institutes of Health (R01AG077829, R01AG071281, R21AG072738, RF1AG074543)
- National Institute on Aging (F31AG074673)
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Advanced Neuroimaging Techniques and Applications
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- APOE ε4, apolipoprotein E
- MeSH terms
- Amyloidosis, Animals, Brain, Corpus Callosum, Disease Models, Animal, Humans, Magnetic Resonance Imaging, Mice, Transgenic, Myelin Sheath, Oligodendroglia, Amyloid beta-Peptides, Neurites, Mice, Apolipoprotein E3, Apolipoprotein E4, White Matter
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Claims read by deepseek-v4.1-flash under definition version 3 (extract-v3) on 2026-10-11.
Classified by jev-1.13-20260917 (gold-guideline-v0.2) on 2026-10-11.
Cited sources are checked by gpt-6-sol.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review